Technical Overview
Qwen3‑TTS‑12Hz‑1.7B‑Base is a cutting‑edge text‑to‑speech (TTS) model developed by Qwen. It converts multilingual text into high‑fidelity speech using a self‑developed tokenizer that efficiently compresses acoustic features while preserving paralinguistic information. The architecture is a universal end‑to‑end pipeline that bypasses traditional bottlenecks, enabling low‑latency streaming generation and adaptive voice control (tone, speaking rate, emotion). This makes it ideal for real‑time voice assistants, audiobooks, and interactive media across languages such as Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian.
Benchmark Performance
Benchmarks show that Qwen3‑TTS‑12Hz‑1.7B‑Base achieves a Mean Opinion Score (MOS) of 4.6 and a Word Error Rate (WER) of 5.2 % on standard speech synthesis datasets. The latency of 97 ms for streaming generation is well below the 150 ms threshold required for real‑time applications, demonstrating